Evidence map›Paper›PMID 32231256›Full record

ArticleLeukemia2020

Validation and refinement of the revised 2017 European LeukemiaNet genetic risk stratification of acute myeloid leukemia.

Tobias Herold, Maja Rothenberg-Thurley, Victoria V Grunwald, Hanna Janke, Dennis Goerlich, Maria C Sauerland, Nikola P Konstandin, Annika Dufour, Stephanie Schneider, Michaela Neusser and 12 more

Open access · hybridAbstract read
In one paragraph

Article in Leukemia, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 108 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
108citing papers in PubMed, 2 pooled it
19.2field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

108 citing papers in PubMed, 2 syntheses or guidelines pooled it, 186 citations in OpenAlex.

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48 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

22 authors at 8 institutions in 2 countries.

Tobias HeroldLaboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany.ORCID http://orcid.org/0000-0002-9615-9432
Maja Rothenberg-ThurleyLaboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany.
Victoria V GrunwaldLaboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany.
Hanna JankeLaboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany.
Dennis GoerlichInstitute of Biostatistics and Clinical Research, Westfälische Wilhelms-Universität Münster, Münster, Germany.
Maria C SauerlandInstitute of Biostatistics and Clinical Research, Westfälische Wilhelms-Universität Münster, Münster, Germany.
Nikola P KonstandinLaboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany.
Annika DufourLaboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany.
Stephanie SchneiderLaboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany.
Michaela NeusserLaboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany.
Bianka KsienzykLaboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany.
Philipp A GreifLaboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany.
Marion SubkleweLaboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany.
Andreas FaldumInstitute of Biostatistics and Clinical Research, Westfälische Wilhelms-Universität Münster, Münster, Germany.
Stefan K BohlanderDepartment of Molecular Medicine and Pathology, University of Auckland, Auckland, New Zealand.ORCID http://orcid.org/0000-0002-2202-9088
Jan BraessDepartment of Oncology and Hematology, Hospital Barmherzige Brüder, Regensburg, Germany.
Bernhard WörmannCharité University Hospital Berlin, Berlin, Germany.
Utz KrugHospital Leverkusen, Leverkusen, Germany.
Wolfgang E BerdelDepartment of Medicine A, University Hospital Münster, Münster, Germany.
Wolfgang HiddemannLaboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany.
Karsten SpiekermannLaboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany.
Klaus H MetzelerLaboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany. klaus.metzeler@med.uni-muenchen.de.ORCID http://orcid.org/0000-0003-3920-7490
German Cancer Research Center · DELMU Klinikum · DEUniversity of Münster · DECharité - Universitätsmedizin Berlin · DEKlinikum Leverkusen · DEKrankenhaus Barmherzige Brüder · DEUniversity Hospital Münster · DEUniversity of Auckland · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The revised 2017 European LeukemiaNet (ELN) recommendations for genetic risk stratification of acute myeloid leukemia have been widely adopted, but have not yet been validated in large cohorts of AML patients. We studied 1116 newly diagnosed AML patients (age range, 18-86 years) who had received induction chemotherapy. Among 771 patients not selected by genetics, the ELN-2017 classification re-assigned 26.5% of patients into a more favorable or, more commonly, a more adverse-risk group compared with the ELN-2010 recommendations. Forty percent of the cohort, and 51% of patients ≥60 years, were classified as adverse-risk by ELN-2017. In 599 patients <60 years, estimated 5-year overall survival (OS) was 64% for ELN-2017 favorable, 42% for intermediate-risk and 20% for adverse-risk patients. Among 517 patients aged ≥60 years, corresponding 5-year OS rates were 37, 16, and 6%. Patients with biallelic CEBPA mutations or inv(16) had particularly favorable outcomes, while patients with mutated TP53 and a complex karyotype had especially poor prognosis. DNMT3A mutations associated with inferior OS within each ELN-2017 risk group. Our results validate the prognostic significance of the revised ELN-2017 risk classification in AML patients receiving induction chemotherapy across a broad age range. Further refinement of the ELN-2017 risk classification is possible.

Indexed as

AdolescentAdultAgedAged, 80 and overFemaleHumansInduction ChemotherapyLeukemia, Myeloid, AcuteMaleMiddle AgedMutationPrognosisRisk AssessmentRisk FactorsSurvival RateTreatment Outcome

Identifiers

PMID32231256
PMCPMC7685975
OpenAlexW3013699398

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.